bunshin-go
bunshin-go is a Go port of LangChain, LangGraph, and LangSmith that brings production-grade LLM pipeline primitives to the Go ecosystem. It eliminates Python's GIL concurrency limitations with goroutines, adds compile-time type safety via generics, and ships as a single static binary with sub-1ms startup. Supports OpenAI, Anthropic, Google, and Ollama providers with MCP tool discovery, streaming workflows, and a built-in eval harness.
🚀 Why Use bunshin-go?
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TL;DR
Best For
Creators, professionals, and productivity-focused users
Pricing
Free
Main Strength
AI-powered automation and workflow optimization
Ease Of Use
Beginner friendly with modern interface
Powerful capabilities
✨ Key Features
Native goroutine concurrency — zero GIL overhead
Generics-based type safety with compile-time checks
Single static binary deploy — no virtual envs or deps
Sub-1ms startup vs 50–200ms for Python LangChain
O(1) RAM context window via reference/cursor model
Multi-provider: OpenAI, Anthropic, Google, Ollama, Fake
Agent loop with tool use support
MCP tool discovery + sandboxed code execution
HTTP workflow server with SSE streaming
Built-in eval harness and chaos/fault injection testing
Real world usage
🚀 Popular Use Cases
Building LLM-powered Go microservices
High-throughput AI pipelines requiring true parallelism
Production AI agents with low latency requirements
Teams migrating from Python LangChain to Go
Serverless or edge deployments needing small binary size
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